Results 11 to 20 of about 117,644 (297)

Pay attention to the speech: COVID-19 diagnosis using machine learning and crowdsourced respiratory and speech recordings

open access: yesAlexandria Engineering Journal, 2022
Since the outbreak of COVID-19, many efforts have been made to utilize the respiratory sounds and coughs collected by smartphones for training Machine Learning models to classify and distinguish COVID-19 sounds from healthy ones.
Mahmoud Aly   +2 more
doaj   +1 more source

Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning

open access: yesScientific Reports, 2021
Auscultation has been essential part of the physical examination; this is non-invasive, real-time, and very informative. Detection of abnormal respiratory sounds with a stethoscope is important in diagnosing respiratory diseases and providing first aid ...
Yoonjoo Kim   +6 more
doaj   +1 more source

Respiratory modulation of heart sound morphology [PDF]

open access: yesAmerican Journal of Physiology-Heart and Circulatory Physiology, 2009
Heart sounds, the acoustic vibrations produced by the mechanical processes of the cardiac cycle, are modulated by respiratory activity. We have used computational techniques of cluster analysis and classification to study the effects of the respiratory phase and the respiratory resistive load on the temporal and morphological properties of the first ...
Guy, Amit   +3 more
openaire   +2 more sources

Low-Power Wearable Respiratory Sound Sensing [PDF]

open access: yesSensors, 2014
Building upon the findings from the field of automated recognition of respiratory sound patterns, we propose a wearable wireless sensor implementing on-board respiratory sound acquisition and classification, to enable continuous monitoring of symptoms, such as asthmatic wheezing.
Dinko Oletic   +2 more
openaire   +3 more sources

Wearables for Respiratory Sound Classification [PDF]

open access: yesJournal of Physics: Conference Series, 2021
Abstract Respiratory disorders being one of the leading causes of deaths in the world, auscultation is one of the most popular methods used in early diagnosis and prevention, but this method faces drawbacks due to human errors. Hence the importance of an automated diagnosis method is being considered.
R. Shivapathy   +2 more
openaire   +1 more source

Data augmentation using Variational Autoencoders for improvement of respiratory disease classification.

open access: yesPLoS ONE, 2022
Computerized auscultation of lung sounds is gaining importance today with the availability of lung sounds and its potential in overcoming the limitations of traditional diagnosis methods for respiratory diseases.
Jane Saldanha   +5 more
doaj   +1 more source

Lung lobe torsion in adult and juvenile pugs [PDF]

open access: yes, 2018
This cases series of 13 pugs with lung lobe torsion (LLT) is the largest case series of pugs in the literature and the first to compare dogs presenting before and after 12 months of age.
Adamantos, S   +3 more
core   +2 more sources

Convolutional neural network for breathing phase detection in lung sounds [PDF]

open access: yes, 2019
We applied deep learning to create an algorithm for breathing phase detection in lung sound recordings, and we compared the breathing phases detected by the algorithm and manually annotated by two experienced lung sound researchers.
Aviles-Solis, Juan Carlos   +5 more
core   +2 more sources

Stridor at Birth: Congenital Laryngeal Web

open access: yesPhilippine Journal of Otolaryngology Head and Neck Surgery, 2015
Laryngeal web is a rare entity, constituting 5% of all congenital laryngeal lesions, with a reported incidence of 1 in 10,000.1 It usually presents with stridor in childhood, but can be discovered in asymptomatic adults under anesthesia and is associated
Ma. Victoria P. Pascual
doaj   +1 more source

A Classification Method Related to Respiratory Disorder Events Based on Acoustical Analysis of Snoring

open access: yesArchives of Acoustics, 2020
Acoustical analysis of snoring provides a new approach for the diagnosis of obstructive sleep apnea hypopnea syndrome (OSAHS). A classification method is presented based on respiratory disorder events to predict the apnea-hypopnea index (AHI) of OSAHS ...
Can WANG, Jianxin PENG, Xiaowen ZHANG
doaj   +1 more source

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